人工智能模型玩王者荣耀

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

An elegant PyTorch deep reinforcement learning library.

Related papers and codes for vision-based robotic grasping

用基于策略梯度得强化学习方法训练AI玩王者荣耀

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Deep Q-learning for playing flappy bird game

用Resnet101+GPT搭建一个玩王者荣耀的AI

A toolkit for developing and comparing reinforcement learning algorithms.

Repository for most of the code from my YouTube channel

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

End-to-End Object Detection with Transformers

Rainbow: Combining Improvements in Deep Reinforcement Learning

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Intel® RealSense™ SDK

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

An Inverse Kinematics library aiming performance and modularity

A course in reinforcement learning in the wild

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

Python for Windows (pywin32) Extensions